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DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU

Summary: DUCATI introduces a Dual-Cache system for GNNs on giant graphs, adding an Adj-Cache to exploit adjacency locality and accelerate mini-batch generation on GPUs. A workload-aware allocator tunes cache allocation; on 4B graphs, yields up to 3.3x speedups over DGL, with time–accuracy trade-offs analyzed. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6670
Venue
SIGMOD
Year
2023
Pagerank
8.8414587e-05
Overall Rank
2,425 | 83.15%
DOI
10.1145/3589311

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 17 of 17 citing papers.

Rank Citing Paper Year Venue Pagerank
5,135 NeutronOrch: Rethinking Sample-based GNN Training under CPU-GPU Heterogeneous Environments 2024 VLDB 5.6669017e-05
5,356 NeutronStream: A Dynamic GNN Training Framework with Sliding Window for Graph Streams 2024 VLDB 5.5514335e-05
5,485 ETC: Efficient Training of Temporal Graph Neural Networks over Large-scale Dynamic Graphs 2024 VLDB 5.4817019e-05
5,746 Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective 2024 VLDB 5.3429324e-05
6,944 Efficient Training of Graph Neural Networks on Large Graphs 2024 VLDB 4.8875946e-05
7,014 SIMPLE: Efficient Temporal Graph Neural Network Training at Scale with Dynamic Data Placement 2024 SIGMOD 4.8570865e-05
7,286 DAHA: Accelerating GNN Training with Data and Hardware Aware Execution Planning 2024 VLDB 4.7701372e-05
7,568 ADGNN: Towards Scalable GNN Training with Aggregation-Difference Aware Sampling 2023 SIGMOD 4.7044808e-05
8,359 Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression 2024 VLDB 4.5321446e-05
9,677 Apt-Serve: Adaptive Request Scheduling on Hybrid Cache for Scalable LLM Inference Serving 2025 SIGMOD 4.3006524e-05
9,787 The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format 2024 SIGMOD 4.2799988e-05
10,027 NeutronHeter: Optimizing Distributed Graph Neural Network Training for Heterogeneous Clusters 2026 SIGMOD 4.1905499e-05
10,082 Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine 2026 SIGMOD 4.1905499e-05
10,233 Efficient GNN Training on Giant Graphs with Collective Batching and Scheduling 2026 VLDB 4.1905499e-05
10,548 Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch. 2025 VLDB 4.1905499e-05
10,579 NeutronTask: Scalable and Efficient Multi-GPU GNN Training with Task Parallelism 2025 VLDB 4.1905499e-05
10,742 Faster Convergence in Mini-batch Graph Neural Networks Training with Pseudo Full Neighborhood Compensation 2025 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
395 One Trillion Edges: Graph Processing at Facebook-Scale 2015 VLDB 0.00024440144
1,102 Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture 2021 VLDB 0.00014011556
1,162 Sancus: Staleness-Aware Communication-Avoiding Full-Graph Decentralized Training in Large-Scale Graph Neural Networks 2022 VLDB 0.00013573136
Previous Page 1 / 1 Next

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